Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space Using Joint Cross-Attention

Keyphrases

• Attention Mechanism 33%
• Attention Model 33%
• Attention Weight 33%
• Audio 33%
• Audio-visual Fusion 100%
• Audio-visual Modality 66%
• Audiovisual Features 33%
• Automatic Emotion Recognition 33%
• Complementary Nature 33%
• Complementary Source 33%
• Cost-effective Solution 33%
• Cross Attention Module 66%
• Cross-attention 100%
• Dimensional Emotion Recognition 33%
• Diverse Sources 33%
• Emotion Recognition 100%
• Emotional State 33%
• Feature Representation 66%
• Fusion Model 33%
• Fusion Technique 33%
• Information Providing 33%
• Intramodal 33%
• Joint Feature 33%
• Missing Modalities 33%
• Modal 66%
• Multimodal Approach 33%
• Noisy-OR 33%
• Performance Improvement 33%
• Real-world Application 33%
• Recognition-based 33%
• Recurrent Network 33%
• Valence-arousal Space 100%
• Vanilla 33%
• Visual Relationship 33%
• Vocal 33%
• Weight-based 33%

Computer Science

• Attention (Machine Learning) 50%
• Effective Solution 50%
• Emotional State 50%
• Fusion Technique 50%
• Individual Modality 50%
• Multimodal Approach 50%
• Recurrent Network 50%
• Visual Feature 50%
• Visual Modality 100%
• World Application 50%